Unscented Predictive Control for Battery Energy Storage Systems in Networked Microgrids

Controlling batteries State of Charge (SoC) within operational constraints, while minimising the power exchange among microgrids and with the grid, is an important problem to maximise microgrids performance and extend batteries lives. To address this problem, this paper adopts an Unscented Predictive Control (UPC) to optimise the SoC control under uncertain conditions. Based on the model of the NMG and the principle of model predictive control, the design of the SoC control strategy is formulated as an Optimisation Problem (OP) with probability operation conditions. To deal with the latter, the unscented transformation is integrated with predictive control to derive the mean value and variance of system states. A tractable OP for NMGs is then obtained and the effectiveness of the proposed UPC-based SoC control strategy is verified by simulations with different NMG frameworks.